code: def __getitem__(self, idx):
      image_path, label_path = self.file_list[idx]
  
      image = np.load(image_path)
      label = np.load(label_path)
      if self.mode == "train":
          image = image[np.newaxis, :, :]
          label = label[np.newaxis, :, :]
      else:
          images = image[:, np.newaxis, :, :]
          labels = label[:, np.newaxis, :, :]
  
      if self.transforms:
          if self.mode == "train":
              image, label = self.transforms(im=image, label=label)
          else:
              image_list = []
              label_list = []
              for i in range(images.shape[0]):
                  image = images[i]
                  label = labels[i]
                  image, label = self.transforms(im=image, label=label)
                  image_list.append(image)
                  label_list.append(label[np.newaxis, :, :, :])
              image = np.concatenate(image_list)
              label = np.concatenate(label_list)
  
      idx = image_path.split("/")[-1].split("_")[0]
      return image.astype("float32"), label.astype("int64"), idx
  
file_path: PaddleSeg/contrib/MedicalSeg/medicalseg/datasets/abdomen.py
imports: import os
  import paddle
  import numpy
  from medicalseg.datasets import MedicalDataset
  from medicalseg.cvlibs import manager
  from medicalseg.utils import loss_computation
label_desc: Use image node_id 2 for calling the Abdomen obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image,  label,  idx